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and ROR
in phase I and phase II metabolism
1 Cell Biology Section, National Institutes of Health, Research Triangle Park, North Carolina
4 Microarray Group, Division of Intramural Research, The National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina
2 Stem Cell Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana
3 Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| ABSTRACT |
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) and gamma (ROR
) are both expressed in liver; however, their physiological functions in this tissue have not yet been clearly defined. The ROR
1 and ROR
1 isoforms, but not ROR
4, show an oscillatory pattern of expression during circadian rhythm. To obtain insight into the physiological functions of ROR receptors in liver, we analyzed the gene expression profiles of livers from WT, ROR
-deficient staggerer (sg) mice (ROR
sg/sg), ROR
–/–, and ROR
sg/sgROR
–/– double knockout (DKO) mice by microarray analysis. DKO mice were generated to study functional redundancy between ROR
and ROR
. These analyses demonstrated that ROR
and ROR
affect the expression of a number of genes. ROR
and ROR
are particularly important in the regulation of genes encoding several phase I and phase II metabolic enzymes, including several 3ß-hydroxysteroid dehydrogenases, cytochrome P450 enzymes, and sulfotransferases. In addition, our results indicate that ROR
and ROR
each affect the expression of a specific set of genes but also exhibit functional redundancy. Our study shows that ROR
and ROR
receptors influence the regulation of several metabolic pathways, including those involved in the metabolism of steroids, bile acids, and xenobiotics, suggesting that RORs are important in the control of metabolic homeostasis. liver; nuclear receptor; metabolism; sulfotransferase; staggerer mice; gene expression analysis; circadian rhythm; retinoid-related orphan receptors
| INTRODUCTION |
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), beta (RORß), and gamma (ROR
), also referred to as NR1F1–3 or RORA–C, respectively (16, 17). Through alternative splicing and promoter usage, each ROR gene generates several variants that are expressed in a tissue-specific manner and regulate specific target genes and physiological functions. These variants have been implicated in the regulation of distinct biological processes. ROR receptors preferably bind as monomers to specific ROR response elements (ROREs) (11, 29) in the regulatory region of target genes. Repression and activation of gene transcription by RORs are mediated through the recruitment of co-repressors and co-activator complexes, respectively, as has been demonstrated for other nuclear receptors (16, 17). Recent crystal structure analyses of RORs have provided evidence indicating that the transcriptional activity of RORs is ligand dependent (20, 39). Cholesterol-sulfate and other (sulfated) lipid metabolites have been reported to function as agonists for ROR
, while several retinoids were demonstrated to bind RORß and ROR
and to act as partial antagonists (20, 39).
Characterizations of mice deficient in the expression of RORs have implicated ROR
, RORß, and ROR
in the control of distinct physiological processes. These studies showed that ROR
plays a critical role in the maturation and survival of Purkinje cells (4, 9, 12, 17). ROR
has also been implicated in bone formation, lipid homeostasis, and in the regulation of several immune functions (7, 15, 30, 32, 37, 43). ROR
, ß, and
all appear to have a role in the regulation of circadian rhythm (2, 17, 34). Moreover, a recent study implicated RORß in the regulation of the S opsin gene in retinal cone photoreceptors (36). ROR
t (also referred to as ROR
2) has been reported to play a critical role in the development of secondary lymphoid tissues and in thymopoiesis (10, 17, 25, 41, 42).
While the expression of RORß is rather restricted and shows little overlap with those of the other two ROR receptors, ROR
and ROR
are coexpressed in many tissues, including brown fat, liver, and kidney (17). The latter raised the question whether there is any functional redundancy between these two receptors as has been demonstrated for several other nuclear receptors. To obtain greater insight into this question and the roles of RORs in liver, we generated ROR
and ROR
double knockout (DKO) mice and compared the gene expression profiles of livers from wild-type (WT), ROR
sg/sg, ROR
–/–, and DKO mice by microarray analysis. These analyses showed that lack of ROR
and ROR
expression affects the expression of several genes encoding phase I and phase II metabolic enzymes. In addition, our data demonstrated that ROR
and ROR
each can influence the expression of a specific set of genes but also exhibit functional redundancy and that they can affect gene expression in a positive as well as negative manner. Our study shows that ROR
and ROR
receptors affect the expression of several genes involved in the metabolism of steroids, bile acids, and xenobiotics, suggesting that they may play an important role in the control of metabolic homeostasis and the detoxification and elimination of endogenous and exogenous compounds.
| MATERIALS AND METHODS |
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+/sg) mice were purchased from Jackson Laboratories (Bar Harbor, ME). The staggerer (ROR
sg/sg) mice, a natural mutant mouse strain, contain a 6.5-kb deletion in the ROR
gene resulting in a functional knockout of ROR
(13). C57BL/6 ROR
–/– mice were described previously (25). ROR
sg/sgROR
–/– (DKO) mice were generated by crossing ROR
+/sg with ROR
–/– mice. ROR
genotyping was carried by polymerase chain reaction (PCR) of tail DNA according to the instructions of Jackson Laboratories while genotyping of the ROR
–/– mice was performed as previously described (25). Littermate WT mice were used as controls. The animals were bred at NIEHS and were supplied ad libitum with NIH-A31 formula and water. Blood was collected by heart puncture, and sera were stored at –80°C. The C57BL/6 and AKR/J mice used in the study were maintained on a constant 12-h light/12-h dark cycle with the light cycle beginning at 6 AM. All animal protocols followed the guidelines outlined by the National Institutes of Health (NIH) Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee at the National Institute of Environmental Health Sciences (NIEHS) and the Pennington Biomedical Research Center.
RNA isolation.
Tissues were collected from mice at the circadian time (CT) indicated. Tissues were rapidly dissected, and parts were either processed in RNA Later solution (Ambion, Austin, TX) or flash frozen in liquid nitrogen. Tissues were stored at –80°C. Tissues were then homogenized in 4 ml of RLT solution in presence of ß-mercaptoethanol with a Polytron PT 3000 (Brinkman Instruments, Westbury, NY). The homogenate was loaded into a QIAshredder column (Qiagen, Valencia, CA) and centrifuged at 12,000 g for 3 min. The supernatant was collected, and one volume of 70% ethanol (50% for liver) was added. The mixture was then loaded onto an RNeasy midi-column and RNA isolated following the manufacturer's instructions (Qiagen). The quality and integrity of the RNA were assessed by bioanalyzer (Agilent, Santa Clara, CA) and agarose gel electrophoresis.
Northern blot analysis.
Northern blot analyses were performed as described (21). Briefly, 15 µg of total RNA were separated on a 1.2% agarose gel containing 0.5% formaldehyde in 1x MOPS buffer, then transferred onto a nylon membrane (Sigma, St. Louis, MO). After UV-cross-linking, the membrane was hybridized to [32P]-labeled probes for Sult1e1, Sult2a1, insulin growth factor binding protein 1 (Igfbp1), Elovl3, Keg-1, Hsd3b5, and Cyp2b10. The membrane was then washed and exposed on Hyperfilm (Amersham Bioscience) at –70°C.
Microarray analysis.
Gene expression analyses were conducted by the NIEHS Microarray Group on Agilent mouse 20,000-oligo chips. Total RNA was isolated from livers of 8- to 12-wk-old WT, DKO, ROR
sg/sg, or ROR
–/– mice
CT19. Each analysis was performed in duplicate, employing a fluor reversal. In the case of WT and DKO mice, two independent experimental replicates were analyzed with a different subset of mice. Briefly, equal amounts of total RNA from individual male mice (5 WT vs. 8 DKO in the first analysis, 4 WT vs. 4 DKO in the second analysis, 4 WT vs. 4 ROR
–/–, and 4 WT vs. 4 ROR
sg/sg) were pooled for each genotype group and then amplified using Agilent Low RNA Input Fluorescent Linear Amplification Kit. Starting with 0.5 µg of amplified total RNA, Cy3- or Cy5-labeled cRNA was produced according to manufacturer's protocol. For each two-color comparison, 750 ng of each Cy3- and Cy5-labeled cRNAs were mixed and fragmented using the Agilent In Situ Hybridization Kit. Hybridizations were performed for 16 h in a rotating hybridization oven using the Agilent 60-mer oligo microarray processing protocol. Slides were washed as indicated in this protocol and then scanned with an Agilent Scanner. Data were retrieved with the Agilent Feature Extraction software (v7.5), using defaults for all parameters. The Agilent Feature Extraction Software performed error modeling, adjusting for additive and multiplicative noise. The resulting data were processed using the Rosetta Resolver system (version 5.1) (Rosetta Biosoftware, Kirkland, WA). The Resolver system combines ratio profiles to create ratio experiments using an error-weighted average as described (45). P values are generated and propagated throughout the system and represent the probability that a given gene is significantly expressed. Genes with a P value <0.001 were considered statistically, differentially expressed. The signature genes were sorted into different categories with the help of the GeneSpring software. One microarray analysis was carried out with pooled RNA from livers of one female and two male WT mice vs. three female DKO mice. Except for several sex-specific genes, this analysis confirmed the pattern of differentially expressed genes obtained with RNA from livers of male WT and DKO mice (data not shown). The microarray data discussed in this study have been deposited in the National Center for Biotechnology Information's Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) and are accessible through GEO Series accession number GSE7564.
Quantitative real-time PCR.
SYBRG and TaqMan quantitative real-time PCR (QRT-PCR) analyses were performed to validate several of the genes identified by microarray analyses and to measure gene expression as a function of CT. Total RNA from three individual mice within each genotype, sex, or CT group was analyzed as indicated. The RNA was reverse-transcribed using the high-capacity cDNA archive kit according to the manufacturer's instructions (Applied Biosystems, Foster City, CA). QRT-PCR reactions with 50 ng of cDNA were carried out in triplicate in a 7300 Real Time PCR system (Applied Biosystems) as follows: 2 min at 50°C, 10 min at 95°C, then 40 cycles each at 95°C for 15 s, and 60°C for 60 s. Predesigned Assays-on-Demand primers/probe sets were purchased from Applied Biosystems: Mm00484132_m1 (Cyp4a14), Mm00484157_m1 (Cyp7b1), Mm00431814_m1 (ApoA4), Mm00468164_m1 (Elovl3), Mm00657677_mH (Hsd3b5). Mm00833447_m1 (Igfbp1), Mm00649796_m1 (Slco1a1), Mm00499178_m1 (Sult1e1). Others primers and probes (Table 1) were designed using the ABI PrimerExpress 2.0 software and synthesized by Sigma/Genosys. All results were normalized relatively to the 18S transcript except in the circadian rhythm experiments where cyclophilin B was utilized instead.
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Estradiol and DHEA levels were determined by radioimmune assay (RIA). An estradiol RIA kit was purchased from Diagnostic Products (Los Angeles, CA), and a DHEA RIA kit was obtained from Diagnostic Systems Laboratory (Webster, TX). Assays were performed in an Apex Automatic gamma counter (ICN Micromedic Systems, Huntsville, AL).
Transfection.
Mouse primary hepatocytes were plated in six-well dishes and maintained in hepatocyte maintenance medium (Cambrex BioScience, Walkersville, MA) and then transfected with 4 µg of VP-ROR
or ROR
expression plasmid DNA using Lipofectamine 2000 (Invitrogen, Carlsbad, CA). VP-ROR
was created by fusing the VP16 activation domain of the herpes simplex virus to the amino terminus of human ROR
. Compared with its WT counterpart, VP-ROR
showed a similar affinity to prototypical RORE but exhibited substantially higher activity on RORE reporter gene (data not shown). Hydrodynamic liver transfection in 4-wk-old CD-1 female mice was carried out as described previously (48). Mice were killed, and liver tissues were harvested 6 h after the injection of VP-ROR
or ROR
plasmid DNA (5 µg). Total RNA was extracted and subjected to QRT-PCR analysis.
Blood analysis.
The levels of glucose, cholesterol, triglycerides, and HDL were determined using the Cobas Mira Classic Chemistry System (Roche Diagnostics Systems, Montclair, NJ), and the chemical reagents for all assays were purchased from Equal Diagnostics (Exton, PA).
| RESULTS |
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and ROR
are expressed in several tissues (5, 17). Some tissues, including liver, express both receptors, whereas other tissues, such as brain, express only ROR
(Fig. 1A). In addition to the generation of different isoforms, each ROR gene produces multiple transcripts of different sizes that are generated by the use of alternative polyadenylation signals (17). Mouse liver expresses the ROR
1 and ROR
4 isoforms and only the ROR
1 isoform (5, 16). Figure 1B shows that ROR
1 and ROR
1 exhibit an oscillatory pattern of expression consistent with a circadian rhythm (46). Both ROR
1 and ROR
1 mRNA are optimally expressed between CT16 and CT0 and expressed at low levels between CT4 and CT12. The expression of ROR
4 mRNA did not display a significant oscillatory expression pattern.
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and ROR
receptors in liver and to determine whether ROR
and ROR
have redundant functions, we generated ROR
sg/sgROR
–/– DKO mice (Fig. 2A). The DKO mice were viable and exhibited all the main phenotypic characteristics previously found to be associated with ROR
and ROR
knockout mice including the staggerer phenotype, a characteristic of ROR
sg/sg mice, and the absence of lymph nodes and a greatly reduced thymus, characteristics of ROR
–/– mice (10, 12, 17, 25, 41). DKO mice weighed
30% less than WT littermate controls, similar to the 25% reduction in body weight observed for ROR
sg/sg mice. No significant differences were observed in relative liver weights between each group (Fig. 2B), and histopathological examination did not reveal any obvious morphological changes in the liver of either ROR
sg/sg, ROR
–/–, or DKO mice (data not shown). A significant reduction in blood triglyceride (35%) and cholesterol (25%) levels was observed in DKO mice that was comparable to those observed in ROR
sg/sg mice, while triglyceride and cholesterol levels were not significantly changed in ROR
–/– mice (Fig. 3). The level of blood glucose was reduced by 25% in DKO mice compared with WT, and although a 12% reduction in blood glucose was observed in ROR
–/– mice, this reduction was not statistically different from that of WT mice. ROR
sg/sg and WT mice did not exhibit a significant difference in blood glucose levels (Fig. 3).
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and ROR
have specific and redundant functions and act as positive and negative regulators of gene expression.
sg/sg, ROR
–/–, and DKO mice by microarray analysis. Because ROR
1 and ROR
1 expression displayed a circadian rhythmicity, the tissues were collected at CT19, a time at which receptor expression is at its zenith. Differentially expressed genes were considered for further analysis if they were induced or repressed at least 1.5-fold or more in one of the three knockout groups and if their P value was <0.001. The gene profiling analysis indicated that in mouse liver, many genes were regulated by ROR
and/or ROR
. The expression of 69 genes was changed in both ROR
sg/sg and DKO mice, 12 genes in both ROR
–/– and DKO mice, 20 genes in ROR
sg/sg, ROR
–/–, and DKO mice, while 797 genes were changed only in DKO mice. Table 2 shows a partial list of genes regulated by RORs in liver. The complete listing of all the changes in gene expression identified in the different comparisons is available at http://dir.niehs.nih.gov/microarray/jetten/home.htm. The genes most dramatically repressed or induced in liver from DKO mice, include genes encoding several Sults, cytochrome P450 (Cyp) enzymes, microsomal enzymes, hydroxysteroid dehydrogenases, glutathione transferases, and solute carriers. In addition, these data suggested that certain genes are regulated preferentially by either ROR
or ROR
, while other genes are under the control of both receptors, and indicate that ROR
and ROR
have specific as well as redundant functions in liver. The gene profiling analysis also showed that
30% of the genes were induced, while
70% were downregulated in livers from DKO-deficient mice. The latter indicates that RORs can function as positive as well as negative regulators of gene expression.
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sg/sg, ROR
–/–, and DKO mice. The expression of Cyp2b9, Cyp39a1, and Cyp7b1 appeared to be dependent on ROR
rather than ROR
. Cyp7b1, Cyp39a1, and Cyp8b1 have important functions in the biosynthesis of bile acids, and their regulation by RORs suggests a role for these receptors in the control of bile acid biosynthesis. The expression of two other P450 genes, Cyp7a1 and Cyp27a1, with major roles in the metabolism of cholesterol into bile acids, was not significantly altered between livers of WT and ROR-deficient mice (data not shown). Cyp2b9 and Cyp2b10 play a role in the oxidation of various xenobiotics and drugs, while Cyp4a10 and Cyp4a14 have been implicated in lipid hydroxylation (40). These observations suggest a role of RORs in the regulation of the metabolism of lipids, steroids, and xenobiotics.
RORs also affect the expression of several genes encoding phase II metabolic enzymes. These include several Sults, which catalyze the transfer of sulfonyl groups using PAPS as sulfate donor. The expression of Sult1e1 mRNA was greatly induced in liver of male DKO and ROR
sg/sg mice (Table 2). Loss of ROR
expression had little effect on Sult1e1 expression. These observations suggest that ROR
negatively regulates the expression of Sult1e1. Hydroxysteroid sulfotransferase Sult2a1 expression, which has been reported to be sex specific and only expressed in liver from female mice (33), was greatly induced in liver from DKO mice suggesting that is regulated by both ROR
and ROR
. Sult2a1 catalyzes the sulfonation of procarcinogens, xenobiotics, hydroxysteroids, and bile acids, particularly lithocholic acid (LCA), while Sult1e1 catalyzes the sulfonation of estrogen and estrone (23). These observations suggest a role for RORs in the regulation of the metabolism of steroids, bile acids, and xenobiotics.
Glutathione transferases form another group of phase II metabolic enzymes that catalyze the conjugation of glutathione with a wide variety of xenobiotics generally resulting in their detoxification and elimination (28). ROR deficiency inhibited the expression of several glutathione transferases, while the expression of others was enhanced (Table 2). These results further support a role of RORs in the modulation of xenobiotic metabolism.
Table 2 also shows that RORs regulate the expression of several members of the 3ß-hydroxysteroid dehydrogenase (Hsd3b) family. In mice the Hsd3b family consists of six members Hsd3b1–6. Hsd3b4 and Hsd3b5 are NADPH-dependent 3-ketosteroid reductases, while Hsd3b2, Hsd3b3, and Hsd3b6 are NAD+-dependent dehydrogenases/isomerases (35). The expression of Hsd3b2–6 was downregulated in DKO mice (Table 2). Hsd3b5, which is expressed largely in liver of male mice, was the most affected by the loss of ROR expression. The expression of Hsd3b5 and Hsd3b4 was downregulated in both ROR
- and ROR
-deficient mice and almost totally repressed in DKO mice. These results suggest that Hsd3b4 and Hsd3b5 are positively regulated by both ROR
and ROR
. Hsd3b family members catalyze either the biosynthesis of active steroid hormones or the inactivation of steroid hormones (35). Therefore, their regulation by RORs suggests a role for these receptors in the control of steroid hormone metabolism.
Northern blot and QRT-PCR analysis.
The induction or repression of the expression of Sult1e1, Sult2a1, Igfbp1, Elovl3, Keg-1, Hsd3b5, and Cyp2b9/10 mRNAs in livers from ROR-deficient mice was verified by Northern blot analysis (Fig. 4A). In addition, the expression of several genes was quantified by QRT-PCR (Fig. 4B). To obtain an independent evaluation, QRT-PCR analysis was performed on RNA samples that were different from the ones used in the microarray and Northern blot analysis. A good correlation was observed between QRT-PCR analysis and the data obtained by Northern blot and microarray analysis. The data confirmed that expression of Sult1e1 was induced in livers from both DKO and ROR
sg/sg mice but not greatly altered in ROR
–/– mice. This suggests that Sult1e1 is affected preferentially by ROR
. In contrast, the expression of Elovl3 was significantly decreased in DKO and ROR
–/– mice and somewhat decreased in ROR
sg/sg mice, suggesting that Elovl3 is modulated preferentially by ROR
. Expression of Cyp7b1 was preferentially regulated by ROR
. Hsd3b5 mRNA expression was repressed in both ROR
sg/sg and ROR
–/– mice, but its expression was considerably more repressed in livers from DKO mice, suggesting that both ROR
and ROR
affect Hsd3b5 expression and that loss of both RORs results in the maximal repression of this gene. Inversely, the expression of Sult2a1, Igfbp1, and Cyp4a14 is induced to a greater extent in DKO mice than in single knockout mice, suggesting that both receptors are involved in their negative regulation. The results with Hsd3b5, Cyp4a14, Sult2a1, and Igfbp1 expression are in agreement with the conclusion that ROR
and ROR
exhibit redundant functions. The expression of several genes, including Sult2a1 and Elovl3, has been shown to be sex dependent. RORs affect the expression of those genes only in females or males (33).
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expression, while Sult2a1 was influenced by both ROR
and ROR
. It also showed that RORs are negative modulators of Sult1e1 and Sult2a1 expression. The latter was supported by observations showing that transfection of WT ROR
or activated VP-ROR
suppressed the expression of endogenous Sult1e1 and Sult2a1 expression in mouse hepatocytes compared with cells transfected with empty vector (Fig. 5B).
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–/–, and ROR
sg/sg mice using, respectively, [3H]-labeled estradiol and dehydroepiandrosterone as substrates. As shown in Fig. 5C, Sult1e1 enzyme activity was greatly increased in liver extracts from DKO and ROR
sg/sg mice compared with those from WT and ROR
–/– mice. Sult1e1 activity was increased in liver of both male and female mice. In contrast, Sult2a1 activity was enhanced in liver extracts from DKO and ROR
–/– mice and to a lesser extent in ROR
sg/sg mice. These results show that the induction in Sult1e1 and Sult2a1 enzyme activities reflect the increased expression of their corresponding mRNAs as observed by QRT-PCR and Northern blot analysis.
To determine whether the changes in the expression of steroid metabolizing enzymes in liver of ROR-deficient mice had any effect on blood steroid levels, we analyzed estrogen and DHEA in blood from WT and ROR-deficient mice. This analysis indicated no significant differences in blood levels of estrogen and DHEA between male and female WT, ROR
sg/sg, ROR
–/–, and DKO mice (data not shown).
Circadian pattern of expression of ROR-regulated genes.
Since ROR
1 and ROR
1 exhibit an oscillatory pattern of expression (Fig. 1B), one would expect that at least some genes regulated by these receptors show a similar or inverse oscillatory pattern of expression during circadian rhythm. We, therefore, examined the level of expression of Elovl3, Hsd3b5, and Sult1e1 in livers from WT male mice as a function of CT. As shown in Fig. 6, the expression of Elovl3, which is positively regulated by RORs, exhibited a rhythmicity that was in phase with that of RORs, while the expression of Sult1e1, which is suppressed by RORs, was out of phase with ROR expression. Hsd3b5 did not exhibit a clear rhythmic pattern of expression.
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| DISCUSSION |
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and ROR
in liver. Liver expresses the isoforms ROR
1, ROR
4, and ROR
1 (5, 14) of which ROR
1 and ROR
1 exhibit an oscillatory pattern of expression consistent with a circadian rhythm (Fig. 1). ROR
1 and ROR
1 are maximally expressed between CT16 and CT0. To study their function and investigate the possibility of functional redundancy between these two receptors, we generated ROR
sg/sgROR
–/– DKO mice. The DKO mice exhibited many of the same phenotypic changes reported for the single knockout mice. The DKO mice exhibited reduced triglyceride and cholesterol levels as previously reported for ROR
sg/sg mice (32). Triglyceride levels were not significantly changed in ROR
–/– mice; however, these mice exhibited reduced blood glucose levels. The latter was also observed in DKO mice. These observations suggest that RORs have distinct regulatory roles in triglyceride and glucose homeostasis.
To obtain further insight into the physiological functions of ROR
and ROR
in liver, we examined the gene expression profiles of livers from WT, ROR
sg/sg, ROR
–/–, and DKO mice by microarray analysis (Table 2). Comparison of the gene expression profiles indicated that RORs affect the expression of a number of genes. This led to several important conclusions.
Firstly, the gene expression profiles showed that some genes were downregulated in livers from DKO mice compared with WT mice, while other genes were induced in DKO mice. These data suggest that ROR
and ROR
can influence gene expression in a positive as well as negative manner. This concept is in agreement with conclusions from recent crystal structure studies indicating that ROR receptors are ligand-dependent transcription factors (20, 38). In addition, RORs have been reported to interact with co-repressors, such as NCoR and RIP140, as well as co-activators, including CBP and SRC1 (12, 17). Although it is likely that RORs control the expression of some of these genes by an indirect mechanism, the positive and negative regulation of the transcription of at least some genes may involve an interaction of RORs with these co-repressors and co-activators. As has been demonstrated for the regulation of gene expression by ROR
in Purkinje cells, the promoter context of the RORE is important in determining what transcriptional mediators are recruited by RORs (12). This may also determine whether ROR induces or represses the expression of a gene.
In addition, our gene profile analyses demonstrated that the expression of certain genes is affected preferentially by ROR
or ROR
, while the expression of other genes is influenced by both receptors. For example, Sult1e1 and Cyp7b1 mRNA expression is affected preferentially in liver of ROR
sg/sg mice, while Elovl3 is suppressed preferentially in ROR
–/– mice. In contrast, Hsd3b5 is only slightly downregulated in livers of ROR
sg/sg and ROR
–/– mice, while it is dramatically repressed in DKO mice. Similarly, repression of Cyp8b1 expression was only observed in livers of DKO mice. These observations suggest that there is a degree of functional redundancy between ROR
and ROR
. The latter may not be surprising since previous studies have shown that although ROR
and ROR
receptors have distinct affinities for specific ROREs, they also can bind and compete for the same RORE (11, 29). Thus the regulation of expression of specific genes by ROR
and ROR
depends on their affinity to the respective RORE present in the target gene. In addition, the promoter context of the RORE likely plays an important role as well in determining which ROR receptor binds which RORE (4, 9, 12, 13, 17).
Most importantly, comparison of the gene expression profiles allowed us to identify categories of genes affected by the loss of ROR expression. This analysis suggested novel roles for RORs in the modulation of the expression of a number of phase I and II enzymes in the liver (Fig. 7). The liver is the primary site of drug metabolism that has been classified as phase I and phase II reactions. Phase I reactions are primarily mediated by P450 microsomal enzymes catalyzing oxidation and hydroxylation and several other enzymes flavin monooxygenases, peroxidases, dehydrogenases, oxidases, etc. (47). Sulfation, glucuronidation, and glutathione conjugation are the major classes of phase II metabolism. Often compounds undergo phase I oxidation before undergoing phase II conjugation. Phase I and II enzymes play an important role in the detoxification and elimination of endogenous, e.g., steroids, bile acids as well as exogenous compounds, e.g., xenobiotics, drugs, and environmental chemicals. However, Cyps also play a role in the generation of active metabolites.
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-hydroxycholesterol by the rate-limiting enzyme Cyp7a1 and its further conversion by several other enzymes, including Cyp27a1 and Cyp8b1, into cholic acid (CA) and chenodeoxycholic acid. The alternative (acidic) bile acid synthesis pathway involves Cyp27a1 and Cyp7b1 that mediate the 7
-hydroxylation of the oxysterols 25- and 27-hydroxycholesterol and several steroids. Our gene profiling analysis showed that RORs affect Cyp7b1 and Cyp8b1 expression, suggesting a role for RORs in the control of both the neutral and the acidic pathway of bile acid biosynthesis. RORs did not significantly affect the expression of Cyp7a1 and Cyp27a1 (data not shown), which have major functions in bile acid biosynthesis. In addition to P450 enzymes involved in bile acid biosynthesis, RORs also influence the expression of a number of other phase I enzymes, including members of the Cyp4a family, which catalyze
-hydroxylation of fatty acids and related compounds facilitating their degradation (40), and members of the Cyp2b family, which are involved in the oxidation of xenobiotics (44). These results further support the conclusion that RORs affect the expression of Cyp7b1 and Cyp2b10 and play a role in the modulation of phase I metabolic pathways.
RORs also regulate the expression of a number of phase II metabolic enzymes, including several glutathione transferases and Sults (47). Glutathione transferases catalyze the conjugation of glutathione with a wide variety of xenobiotics generally resulting in their detoxification and elimination (28). Sult1e1 is main enzyme for sulfonation of estradiol, estrone, and genistein. Sulfonation generally increases the aqueous solubility of substrates and causes a loss of biological activity because sulfonated steroids are unable to bind their (nuclear) receptors. Sult1e1 appears to be regulated preferentially by ROR
(Fig. 7). Sult2a1 catalyzes the sulfonation of procarcinogens, xenobiotics, hydroxysteroids, and bile acids (23). Sult2a1 is important for the sulfonation of DHEA and LCA. Sult2a1 expression is affected by both ROR
and ROR
. Exogenous expression of ROR
in mouse hepatocytes suppressed the expression of Sult1e1 and Sult2a1 in agreement with the concept that RORs are negative modulators of the Sult1e1 expression. Another group of ROR-regulated genes involved in steroid metabolism are members of the Hsd3b and Hsd17b family (35). The expression of Hsd3b4 and Hsd3b5, which are involved in the inactivation of steroid hormones, is greatly diminished in DKO mice and appears to be regulated by both ROR
and ROR
. These observations strongly suggest that RORs modulate several aspects of steroid and bile acid metabolism. In this respect it is interesting to note that cholesterol sulfate has been reported to bind the ROR
receptor (19). Possibly other sulfated steroid or cholesterol metabolites may function as ligands for RORs. Such an interaction could lead to repression of genes (e.g., Sults) regulated by RORs thereby creating a feedback control mechanism. To test this idea further, we analyzed the binding of estrogen- and estrone sulfate, products of Sult1e1, to ROR
; however, no binding of these compounds was detectable (Jetten AM, unpublished observations).
ROR
1 and ROR
1, but not ROR
4, exhibit an oscillatory pattern of expression in liver consistent with a circadian rhythm. Therefore, one might expect that the expression of genes positively regulated by ROR
1 and ROR
1 is in phase with ROR expression and that the inverse is true for genes suppressed by RORs. This is supported by observations showing that the expression of Elovl3, which is positively regulated by ROR
1, is in phase with the circadian pattern of ROR
1 and that the expression of Sult1e1, which is negatively affected by ROR
, is out of phase with the circadian pattern of expression of ROR
1 in agreement with the concept that it is under the control of ROR
1. The expression of Hsd3b5 did not exhibit a clear circadian pattern, and its regulation might involve a different mechanism possibly involving ROR
4. These results are in agreement with previous observations showing a role for RORs in the regulation of gene expression during circadian rhythm (17). It is interesting to note that the phase of the circadian profile of RORs in liver is the inverse of that reported for the Rev-erb nuclear receptors, which function as negative regulators of transcription (49). Consequently, Rev-erb receptors might be involved in the negative regulation of ROR
1 and ROR
1 expression. In addition, Rev-erb receptors have been reported to compete with RORs for binding to ROREs (3). Thus, during circadian rhythm ROR and Rev-erb receptors might function as positive and negative regulators of overlapping sets of genes.
Likely not all genes identified in Table 2 are regulated by RORs by a direct mechanism; some may be controlled by an indirect mechanism possibly involving regulation by other transcription factors that themselves are controlled by RORs. Previous studies have identified several genes, including ApoA5, that are regulated directly by ROR
(26, 27). In this study we show that Cyp7b1 expression is suppressed in DKO and ROR
sg/sg mice. The Cyp7b1 gene contains an RORE at nt –952 in the upstream promoter region that was able to bind ROR
and mediate transcriptional activation by ROR
(Wada T, Kang HS, Angers M, Gong H, Bhatia S, Khadem S, Ren S, Ellis E, Strom SC, Jetten AM, Xie W, unpublished observations). In addition, chromatin immunoprecipitation analysis showed that this RORE binds ROR
in vivo suggesting that Cyp7b1 is a direct target gene of ROR
. Interestingly, many of the phase I and II genes found to be affected by RORs have been previously reported to be targets for transcriptional regulation by other nuclear receptors, including the liver X receptor (LXR), constitutive androstane receptor (CAR or NR1I3), pregnane X receptor (PXR), hepatocyte nuclear factor 4
(HNF4
), peroxisome proliferator-activated receptors, and farnesoid X receptor (FXR) (1, 6, 18, 24, 31, 33). For example, Sult2a1 expression is under the transcriptional control of CAR, PXR, and FXR, while CAR and PXR function, respectively, as a negative and positive regulator of Cyp2b10 expression, and HNF4
is a transcriptional activator of several Cyps, including Cyp8b1. The effects of RORs on gene expression could involve regulation of the expression of one or more of these receptors, synthesis of receptor ligands or competition for the same DNA response element. Examination of CAR and LXR
expression showed no significance difference in their expression between WT and ROR-deficient mice (Kang HS, unpublished observations). Future studies have to determine whether there is any cross talk between these receptors and RORs as has been recently demonstrated for CAR and HNF4
(8).
In summary, our study demonstrates that ROR
1 and ROR
exhibit an oscillatory pattern of expression consistent with a circadian profile. Analysis of the gene expression profiles indicated that ROR
and ROR
affect downstream gene expression in a positive and negative manner. Some genes were modulated preferentially by ROR
or by ROR
, while a number of genes were affected by both ROR
and ROR
, suggesting functional redundancy. Most importantly, our study demonstrates that RORs are able to modulate the expression a number of phase I and phase II metabolic enzymes, suggesting that expression of RORs can affect bile biosynthesis and the metabolism of steroids and xenobiotics.
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Article published online before print. See web site for date of publication (http://physiolgenomics.physiology.org).
* H. S. Kang and M. Angers contributed equally to this study. ![]()
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